Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
119
datasets available to search
ShareScore release 0.9.0
Dataset results
119 results for “health disparities”
Mining the health disparities and minority health bibliome: A computational scoping review and gap analysis of 200,000+ articles
<p>Without comprehensive examination of available literature on health disparities and minority health (HDMH), the field is left vulnerable to disproportionately focus on specific populations or conditions, curtailing our ability to fully advance health equity. Using scalable open-source methods, we conducted a computational scoping review of more than 200,000 articles to investigate major populations, conditions, and themes in the literature as well as notable gaps. We also compared trends in studied conditions to their relative prevalence in the general population using insurance claims (42 million Americans). HDMH publications represent 1% of articles in MEDLINE. Most studies are observational in nature, though randomized trial reporting has increased five-fold in the last twenty years. Half of all HDMH articles concentrate on only three disease groups (cancer, mental health, endocrine/metabolic disorders), while hearing, vision, and skin-related conditions are among the least well-represented despite substantial prevalence. To support further investigation, we also present HDMH Monitor, an interactive dashboard and repository generated from the HDMH bibliome.</p>
Re-igniting Windrush Folk stories and songs to improve African-Caribbean mental health disparities in the London Boroughs of Lewisham & Greenwich
<p>This cross-disciplinary intergenerational project created a network of experts from multiple fields, aiming to achieve several key objectives. Using A-C Folk Songs and Art methods, it provided support to hub spaces, including training, remuneration for services and connecting them to therapists. The project also embeded culturally relevant narrative therapy techniques in community settings to support proactive positive mental health, whilst ensuring community organisations had access to affordable meeting spaces. Finally, it created opportunities for intergenerational connection, fostering a more cohesive and supportive community environment.</p> <p>A-C communities are 40% more likely than white-British people to come into contact with mental health services and be detained under the Mental Health Act, reflecting a stark historical pattern of structural racism and its ensuing health inequalities within the mental health system (Vige, 2019). Access to mental healthcare services are limited as a result of institutional, cultural and socio- economic exclusion factors related to BME groups (Memon, et al., 2016). The field of clinical psychology often 'assumes a deficit-based-approach' to the mental health of those minoritised by society (Renkly & Bertolini, 2018). This model is problematic with those from A-C groups because it places emphasis on the individual rather than systems of oppression and ignores the ways cultural traditions and communities create supporting mechanisms for mental health. Our approach offers an alternative model.</p> <p>This project uses an augmented generative co-design framework base on Bird et al (2021) where a narrative enquiry (Pinnegar, & Daynes, 2007) is used to engage participants in conversations on folk songs and how these can be utilised to support mental health of the local A-C community. Through a series of workshops we brought together storytellers, A-C elders and young adults 18-85 to gather traditional stories as well as to create new ones. This supported our understanding of both folk stories and song routes and the lessons learnt within them. We used these stories as analogies to map out the socio-cultural ways in which mental health is discussed in African-Caribbean communities, capturing these conversations via film which, after each session, is edited and re-shared in the next session to create a focus for future conversations. </p> <p>During the project we have co-produced a toolkit including: film, workshop plans and thematic analysis of findings. Our work will feed into at least 2 publications which connect the 10 NHS 75 projects (article and policy document) and we plan on publishing at least 2 further works; 1 on methodological insight and the other on research findings.</p> <p>Our work has been shared at the International symposium (1st July 2024 University of Greenwich) linked to mental Health and the Climate crisis, opening possible future avenues of work with international organisations as well as with the Caribbean Association. </p> <p> </p>
Improving Patient-Provider Communication to Reduce Mental Health Disparities
ClinicalTrials.gov study NCT04515771. IPD Sharing: YES. Countries: 1. Publications: 3.
Mining the health disparities and minority health bibliome: A computational scoping review and gap analysis of 200,000+ articles
Open the record for dataset details and reuse information.
Highlighting health consequences of racial disparities sparks support for action
<p>Racial disparities arise across many vital areas of American life, including employment, health, and interpersonal treatment. For example, 1 in 3 Black children live in poverty (vs. 1 in 9 White children) and on average, Black Americans live 4 fewer years than White Americans. Which disparity is more likely to spark reduction efforts? We find that highlighting disparities in health-related (vs. economic) outcomes spurs greater social media engagement and support for disparity-mitigating policy. Further, reading about racial health disparities elicits greater support for action (e.g., protesting) than economic or belonging-based disparities. This occurs, in part, because people view health disparities as violating morally-sacred values which enhances perceived injustice. This work elucidates which manifestations of racial inequality are most likely to prompt Americans to action.</p>
Nitrogen dioxide exposure, health outcomes, and associated demographic disparities due to gas and propane combustion by US stoves
<p>Gas and propane stoves emit nitrogen dioxide (NO<sub>2</sub>) pollution indoors, but the exposures of different U.S. demographic groups are unknown. We estimate NO<sub>2 </sub>exposure and health consequences using emissions and concentration measurements from >100 homes, a room-specific indoor air quality model, epidemiological risk parameters, and statistical sampling of published housing characteristics and occupant behavior. Gas and propane stoves increase long-term NO<sub>2</sub> exposure by an estimated 4.0 ppbv on average across the United States, 75% of the World Health Organization (WHO)'s exposure guideline. This increased exposure may cause approximately 50 thousand cases of current pediatric asthma from long-term NO<sub>2</sub> exposure alone. Short-term NO<sub>2</sub> exposure from typical gas stove use frequently exceeds both World Health Organization and U.S. EPA benchmarks. Residents of residences <800 ft<sup>2</sup> in size incur 4 times more long-term NO<sub>2</sub> exposure than residents of residences >3000 ft<sup>2</sup> in size; American Indian/Alaska Native and Black and Hispanic/Latino households incur 60% and 20% more NO<sub>2</sub> exposure, respectively, than the national average.</p>
Cancer Health Disparities drivers with BERTopic Modelling and PyCaret Evaluation - Text data
<p>The complex interplay of social, behavioral, lifestyle, environmental, health system, and natural health variables contribute to disparities in cancer treatment across racial and ethnic groups. Consequently, it is necessary to identify the variables contributing to cancer health inequalities and develop strategies to achieve health equality. PubMed abstract on Cancer health disparities was scraped with a bio.Entrez python package. Preprocessed data with regex and Natural tool kit (NLTK), topic modelling with BERTopic embeddings, and c-TF-IDF to construct dense clusters and analyze top topics linked with Cancer health disparities. Model evaluation with PyCaret coherence score and web app deployment with Streamlit. The results showed that Topic 32 with terms obese, female, male, school, survey, student, poet, and discrepancy had the best coherence score of 0.3687. In contrast, topic 8, with terms prevalence, adult, income, high, usage, diabetes, education, elderly, change and low, received the least coherence score of 0.3255. The model classifies each Subject Word score based on the scores, the granular topic concerns and trends related to cancer health disparities, investigates the connection between drivers of cancer health disparities, and evaluates the model with their coherence score values</p>
A Stepped Care Intervention to Reduce Disparities in Mental Health Services Among Cancer Patients and Caregivers
ClinicalTrials.gov study NCT03016403. IPD Sharing: NO. Countries: 1. Publications: 1.
Intervention Trial to Reduce Mental Health Disparities in Latina Immigrant Women
ClinicalTrials.gov study NCT03545282. IPD Sharing: NO. Countries: 1. Publications: 5.
Integrating Financial Management Counseling and Smoking Cessation Counseling to Reduce Health and Economic Disparities in Low-Income Immigrants
ClinicalTrials.gov study NCT03187730. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Addressing Racial/Ethnic Tobacco Health Disparities Via Group Intervention
ClinicalTrials.gov study NCT02511236. IPD Sharing: NO. Countries: 1. Publications: 2.
Addressing Health Disparities in Childhood Obesity, One Summer at a Time
ClinicalTrials.gov study NCT03595332. IPD Sharing: NO. Countries: 1. Publications: 2.
Reducing Health Disparities for Black Women in the Treatment of Insomnia
ClinicalTrials.gov study NCT03613519. IPD Sharing: NO. Countries: 1. Publications: 1.
Health Literacy Interventions to Overcome Disparities in CRC Screening
ClinicalTrials.gov study NCT02360605. IPD Sharing: NO. Countries: 1. Publications: 26.
Diabetes Self-Management Models to Reduce Health Disparities
ClinicalTrials.gov study NCT01221090. IPD Sharing: Not stated. Countries: 1. Publications: 7.
A Mobile Health Intervention to Reduce Diabetes Disparities in Chinese Americans
ClinicalTrials.gov study NCT03557697. IPD Sharing: YES. Countries: 1. Publications: 3.
Development of a Training Intervention to Improve Mental Health Treatment Effectiveness and Engagement for Youth With Documented Mental Health Disparities
ClinicalTrials.gov study NCT05626231. IPD Sharing: NO. Countries: 1. Publications: 7.
Reducing Health Disparities in Childhood Obesity
ClinicalTrials.gov study NCT04072549. IPD Sharing: NO. Countries: 1. Publications: 3.
Preventing Health Disparities During Pregnancy Through Vitamin D Supplementation
ClinicalTrials.gov study NCT01932788. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Highlighting health consequences of racial disparities sparks support for action
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.